Factors Influencing the Acceptance, Use, and Continued Use of the E-Learning Recommender Systems: Descriptive Statistical Analysis Data Findings

Factors Influencing the Acceptance, Use, and Continued Use of the E-Learning Recommender Systems: Descriptive Statistical Analysis Data Findings

Hadeel Alharbi (University of New England, Armidale, Australia) and Kamaljeet Sandhu (University of New England, Armidale, Australia)
DOI: 10.4018/IJICTHD.2018010103
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The purpose of this article is to report the descriptive statistics for the responses obtained from the survey of Saudi Arabia students about their experience of using e-learning recommender system during their study. This article utilizes a survey questionnaire as the main instrument for data collection. Hence, a self-completion, well-structured questionnaire was developed based on previous literature and was then distributed to a random sample and participation was completely voluntary. A total sample of 353 university students from various universities in Saudi Arabia participated in this article. Results showed that user experience and service quality factors are significant predictors of students' adoption and post-adoption of e-learning recommender systems.
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In this research, the survey was designed and organized to ensure the clarity and the accuracy of the questions. Qualtrics survey software was used to develop the web-based survey (see Appendix 1). The questionnaire design was divided into two sections. The first section was designed to capture the respondents’ profiles (i.e. demographics data) using multiple-choice questions. In this section, yes/no questions were also used at the beginning of the questionnaire for the purpose of filtering the participants (e.g. if they are using e-learning recommender systems or not). The second section consists of scale questions which are used to measure the independent and dependent variables related to the research model. The purpose of scale questions was to measure factors that influence students’ acceptance and continued use of e-learning recommender system, concentrating on their experience with such system as well as their perceptions about the quality of the e-learning recommender system, its usefulness and their perceptions about how ease of use the system during their academic study.

Scale questions were close-ended questions using a five-point Likert scale with end points of “strongly agree” and “strongly disagree”. To achieve the clarity of the survey, each type of questions was separated from other types. Thus, the demographic questions and yes/no questions were placed first, followed by the scale questions which were clustered based on the subject.

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